Advances in Blind Source Separation
-
Citation: EURASIP Journal on Advances in Signal Processing 2007 2007:057314
-
Fixed-Point Algorithms for the Blind Separation of Arbitrary Complex-Valued Non-Gaussian Signal Mixtures
We derive new fixed-point algorithms for the blind separation of complex-valued mixtures of independent, noncircularly symmetric, and non-Gaussian source signals. Leveraging recently developed results on the s...
Citation: EURASIP Journal on Advances in Signal Processing 2007 2007:036525 -
Underdetermined Blind Source Separation in Echoic Environments Using DESPRIT
The DUET blind source separation algorithm can demix an arbitrary number of speech signals using anechoic mixtures of the signals. DUET however ...
Citation: EURASIP Journal on Advances in Signal Processing 2006 2007:086484 -
Separation and Localisation of P300 Sources and Their Subcomponents Using Constrained Blind Source Separation
Separation and localisation of P300 sources and their constituent subcomponents for both visual and audio stimulations is investigated in this paper. An effective constrained blind source separation (CBSS) alg...
Citation: EURASIP Journal on Advances in Signal Processing 2006 2007:082912 -
A Joint Optimization Criterion for Blind DS-CDMA Detection
This paper addresses the problem of the blind detection of a desired user in an asynchronous DS-CDMA communications system with multipath propagation channels. Starting from the inverse filter criterion introd...
Citation: EURASIP Journal on Advances in Signal Processing 2006 2007:079248 -
Robust Sparse Component Analysis Based on a Generalized Hough Transform
An algorithm called Hough SCA is presented for recovering the matrix in , whe...
Citation: EURASIP Journal on Advances in Signal Processing 2006 2007:052105 -
Blind Deconvolution in Nonminimum Phase Systems Using Cascade Structure
We introduce a novel cascade demixing structure for multichannel blind deconvolution in nonminimum phase systems. To simplify the learning process, we decompose the demixing model into a causal finite impulse ...
Citation: EURASIP Journal on Advances in Signal Processing 2006 2007:048432 -
A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures
We propose a method for source separation of convolutive mixture based on nonlinear prediction-error filters. This approach converts the original problem into an instantaneous mixture problem, which can be sol...
Citation: EURASIP Journal on Advances in Signal Processing 2006 2007:043860 -
gpICA: A Novel Nonlinear ICA Algorithm Using Geometric Linearization
A new geometric approach for nonlinear independent component analysis (ICA) is presented in this paper. Nonlinear environment is modeled by the popular post nonlinear (PNL) scheme. To eliminate the nonlinearit...
Citation: EURASIP Journal on Advances in Signal Processing 2006 2007:031951 -
MAP-Based Underdetermined Blind Source Separation of Convolutive Mixtures by Hierarchical Clustering and -Norm Minimization
We address the problem of underdetermined BSS. While most previous approaches are designed for instantaneous mixtures, we propose a time-frequency-domain algorithm for convolutive mixtures. We adopt a two-step...
Citation: EURASIP Journal on Advances in Signal Processing 2006 2007:024717 -
Exploiting Narrowband Efficiency for Broadband Convolutive Blind Source Separation
Based on a recently presented generic broadband blind source separation (BSS) algorithm for convolutive mixtures, we propose in this paper a novel algorithm combining advantages of broadband algorithms with th...
Citation: EURASIP Journal on Advances in Signal Processing 2006 2007:016381